Data Security and Privacy Preserving with Augmented Homomorphic Re-Encryption Decryption (AHRED) Algorithm in Big Data Analytics | IEEE Conference Publication | IEEE Xplore

Data Security and Privacy Preserving with Augmented Homomorphic Re-Encryption Decryption (AHRED) Algorithm in Big Data Analytics

Publisher: IEEE

Abstract:

The process of Big data storage has become challenging due to the expansion of extensive data; data providers will offer encrypted data and upload to Big data. However, t...View more

Abstract:

The process of Big data storage has become challenging due to the expansion of extensive data; data providers will offer encrypted data and upload to Big data. However, the data exchange mechanism is unable to accommodate encrypted data. Particularly when a large number of users share the scalable data, the scalability becomes extremely limited. Using a contemporary privacy protection system to solve this issue and ensure the security of encrypted data, as well as partially homomorphic re-encryption and decryption (PHRED). This scheme has the flexibility to share data by ensuring user's privacy with partially trusted Big Data. It can access to strong unforgeable scheme it make the transmuted cipher text have public and private key verification combined identity based Augmented Homomorphic Re Encryption Decryption(AHRED) on paillier crypto System with Laplacian noise filter the performance of the data provider for privacy preserving big data.
Date of Conference: 02-04 September 2021
Date Added to IEEE Xplore: 01 October 2021
ISBN Information:
Publisher: IEEE
Conference Location: Coimbatore, India

I. Introduction

Due to advancement in technology and the growth of present information technology based on the demand of social growth cannot fulfill the traditional data sharing. Big data storage system is a recent one, and users can make to store the data in big data environment at any point of time. Though data storage is very convenient for the users can be highly in secured and stored in non-trust worthy third party [1] [2]. Hence, the confidentiality, integrity and reliability of big data must be made certain. The suggested scheme is privacy protected by introducing a new hidden restriction and modifying the secret key, re-encryption the two key and providing a well-organized, verifiable system of access management for centralized big data storage across multiple data service providers[3], Cooperatively maintain and store customer data during multiple data service providers. This cooperatively operating process of demonstrating data management was focused on the system of indexing hierarchy & homomorphic variable answer[4].

References

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